• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 4th Dec 2023

•            Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

•            Experience building and optimizing 'big data' data pipelines, architectures and data sets.

•            Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

•            Strong analytic skills related to working with unstructured datasets.

•            Build processes supporting data transformation, data structures, metadata, dependency and workload management.

•            A successful history of manipulating, processing and extracting value from large, disconnected datasets.

•            Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

•            Strong project management and organizational skills.

Key Responsibilities:

•            Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses.

•            Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51.

•            Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms.

•            Define high-level migration plans to address the gaps between the current and future state.

•            Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions.

•            Analyze technology environments to detect critical deficiencies and recommend solutions for improvement.

•            Promote the reuse of data assets, including the management of the data catalog for reference.

•            Draft architectural diagrams, interface specifications and other design documents.